AGILO RoboCuppers 2001: Utility- and Plan-Based Action Selection Based on Probabilistically Estimated Game Situations
- 23 July 2002
- book chapter
- Published by Springer Nature
- p. 611-615
- https://doi.org/10.1007/3-540-45603-1_96
Abstract
No abstract availableKeywords
This publication has 5 references indexed in Scilit:
- Structured Reactive ControllersAutonomous Agents and Multi-Agent Systems, 2001
- Learning Situation Dependent Success Rates of Actions in a RoboCup ScenarioPublished by Springer Nature ,2000
- Architecture for computer vision application development within the HORUS systemJournal of Electronic Imaging, 1997
- Induction of decision treesMachine Learning, 1986
- An algorithm for tracking multiple targetsIEEE Transactions on Automatic Control, 1979